2X Founder & Chief Decision Scientist | TEDx Speaker | Contributor to MIT SMR & Forbes | B-School Adjunct Prof. | C-Suite Advisor
?? New article alert! What causes stagnation in your data science #career? Why are professionals so stressed out in the industry??? My latest article is on "4 Superpowers that will make you indispensable in your #DataScience career" ?? I start by discussing the 4 big hairy challenges that trouble every organization and project, in the industry: ?? 1. Poor #data quality that costs millions of dollars every year ??? 2. Too many tools, and too few end-to-end solutions ?? 3. Failure of projects to solve #business problems ?? 4. Imbalanced skills in projects leading to poor outcomes ?? I break each of these problems down to share what they mean for professionals across roles - data scientist, data translator, designer, ML engineer, manager... ?? The article then unwraps the 4 tips that will enable professionals to tackle these very challenges head-on ?? When done right, these tips will help the people earn trust and become crucial in their project - indispensability ?? It talks about how these are almost magical superpowers, and will help #analytics professionals rise faster in their careers?? I'm quite excited about this article! I'd love to hear what you find useful. Can you offer any other tips for a career in data science? (Check out article link in comments, below)
Data scientist | Machine learning | Python
4 年It was a good read! Much relatable! The last part is especially true. A balanced data science team paves way for lots of internal learning which is vital for any project.